Article citationsMore >>

Malek, A., Drif, M., Chouder, A., & Chikh, M. Alimentation électrique par une installation photovoltaïque destinée pour des équipements de la Veille de l'Atmosphère Globale (Station de Recherche de l'Assekrem - Tamanrasset), Bulletin des énergies renouvelables - N° 2, 2002.

has been cited by the following article:

Article

Prediction of Ozone Concentrations According the Box-Jenkins Methodology for Assekrem Area

1Department of Applied Statistics, Ecole Nationale des Statistiques et Economie Appliquée. 11, chemin Doudou Mokhtar Benaknoun-Alger

2Department of Ecology and Environment, Faculty of Biological Sciences, University of Science and Technology, Houari Boumedienne, USTHB, BP 32 El Alia, Bab Ezzouar Algiers


Applied Ecology and Environmental Sciences. 2016, Vol. 4 No. 2, 48-52
DOI: 10.12691/aees-4-2-3
Copyright © 2016 Science and Education Publishing

Cite this paper:
Hicham Beldjillali, Nacef Lamri, Nour El Islam Bachari. Prediction of Ozone Concentrations According the Box-Jenkins Methodology for Assekrem Area. Applied Ecology and Environmental Sciences. 2016; 4(2):48-52. doi: 10.12691/aees-4-2-3.

Correspondence to: Hicham  Beldjillali, Department of Applied Statistics, Ecole Nationale des Statistiques et Economie Appliquée. 11, chemin Doudou Mokhtar Benaknoun-Alger. Email: bachari10@yahoo.fr

Abstract

The Box-Jenkins approach has been used to construct the forecast model of surface ozone (O3) concentrations. This forecast is important for monitoring O3 concentrations at a regional scale as well as at local level. We used the monthly average O3 concentrations covering the period going from January 2003 to December 2011. The accuracy of the models has been carried out with predicting and analyzing the average monthly O3 concentrations for 2012. By comparing the measured O3 concentrations values and the forecasted values, the AR(1) model is satisfactorily predicts monthly average O3 concentrations in the Assekrem area and the predictions of this model are loosely consistent with the measured values. The developed model can be used to forecast atmospheric tropospheric ozone concentrations in Assekrem area.

Keywords